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[tor-commits] [metrics-web/master] Fix first batch of style issues found by lintr.
commit debef097e14c83523a9ae4e077bf1bb1dd945720
Author: Karsten Loesing <karsten.loesing@xxxxxxx>
Date: Thu Mar 1 22:30:34 2018 +0100
Fix first batch of style issues found by lintr.
---
src/main/R/rserver/graphs.R | 218 ++++++++++++++++++++++----------------------
1 file changed, 109 insertions(+), 109 deletions(-)
diff --git a/src/main/R/rserver/graphs.R b/src/main/R/rserver/graphs.R
index 93ff919..a31790d 100644
--- a/src/main/R/rserver/graphs.R
+++ b/src/main/R/rserver/graphs.R
@@ -308,7 +308,7 @@ custom_labels <- function(breaks) {
# Helper function to format numbers in non-scientific notation with spaces as
# thousands separator.
formatter <- function(x, ...) {
- format(x, ..., scientific = FALSE, big.mark = ' ')
+ format(x, ..., scientific = FALSE, big.mark = " ")
}
theme_update(
@@ -322,17 +322,17 @@ theme_update(
# Set the default line size of geom_line() to 1.
update_geom_defaults("line", list(size = 1))
-copyright_notice = "The Tor Project - https://metrics.torproject.org/";
+copyright_notice <- "The Tor Project - https://metrics.torproject.org/";
-stats_dir = "/srv/metrics.torproject.org/metrics/shared/stats/"
+stats_dir <- "/srv/metrics.torproject.org/metrics/shared/stats/"
-rdata_dir = "/srv/metrics.torproject.org/metrics/shared/RData/"
+rdata_dir <- "/srv/metrics.torproject.org/metrics/shared/RData/"
prepare_networksize <- function(start, end) {
read.csv(paste(stats_dir, "servers.csv", sep = ""),
colClasses = c("date" = "Date")) %>%
- filter(date >= as.Date(start), date <= as.Date(end), flag == '',
- country == '', version == '', platform == '', ec2bridge == '') %>%
+ filter(date >= as.Date(start), date <= as.Date(end), flag == "",
+ country == "", version == "", platform == "", ec2bridge == "") %>%
select(date, relays, bridges)
}
@@ -361,8 +361,8 @@ write_networksize <- function(start, end, path) {
prepare_versions <- function(start, end) {
read.csv(paste(stats_dir, "servers.csv", sep = ""),
colClasses = c("date" = "Date")) %>%
- filter(date >= as.Date(start), date <= as.Date(end), flag == '',
- country == '', version != '', platform == '', ec2bridge == '') %>%
+ filter(date >= as.Date(start), date <= as.Date(end), flag == "",
+ country == "", version != "", platform == "", ec2bridge == "") %>%
select(date, version, relays)
}
@@ -371,7 +371,7 @@ plot_versions <- function(start, end, path) {
known_versions <- c("Other", "0.1.0", "0.1.1", "0.1.2", "0.2.0",
"0.2.1", "0.2.2", "0.2.3", "0.2.4", "0.2.5", "0.2.6", "0.2.7",
"0.2.8", "0.2.9", "0.3.0", "0.3.1", "0.3.2", "0.3.3")
- getPalette = colorRampPalette(brewer.pal(12, "Paired"))
+ getPalette <- colorRampPalette(brewer.pal(12, "Paired"))
colours <- data.frame(breaks = known_versions,
values = rep(brewer.pal(min(12, length(known_versions)), "Paired"),
len = length(known_versions)),
@@ -400,8 +400,8 @@ write_versions <- function(start, end, path) {
prepare_platforms <- function(start, end) {
read.csv(paste(stats_dir, "servers.csv", sep = ""),
colClasses = c("date" = "Date")) %>%
- filter(date >= as.Date(start), date <= as.Date(end), flag == '',
- country == '', version == '', platform != '', ec2bridge == '') %>%
+ filter(date >= as.Date(start), date <= as.Date(end), flag == "",
+ country == "", version == "", platform != "", ec2bridge == "") %>%
select(date, platform, relays) %>%
mutate(platform = ifelse(platform == "Darwin", "macOS",
as.character(platform)))
@@ -431,8 +431,8 @@ write_platforms <- function(start, end, path) {
prepare_bandwidth <- function(start, end) {
read.csv(paste(stats_dir, "bandwidth.csv", sep = ""),
colClasses = c("date" = "Date")) %>%
- filter(date >= as.Date(start), date <= as.Date(end), isexit == '',
- isguard == '') %>%
+ filter(date >= as.Date(start), date <= as.Date(end), isexit == "",
+ isguard == "") %>%
mutate(advbw = advbw * 8 / 1e9) %>%
mutate(bwhist = (bwread + bwwrite) * 8 / 2e9) %>%
select(date, advbw, bwhist)
@@ -464,11 +464,11 @@ write_bandwidth <- function(start, end, path) {
prepare_bwhist_flags <- function(start, end) {
read.csv(paste(stats_dir, "bandwidth.csv", sep = ""),
colClasses = c("date" = "Date")) %>%
- filter(date >= as.Date(start), date <= as.Date(end), isexit != '',
- isguard != '') %>%
- mutate(variable = ifelse(isexit == 't',
- ifelse(isguard == 't', "guard_and_exit", "exit_only"),
- ifelse(isguard == 't', "guard_only", "middle_only")),
+ filter(date >= as.Date(start), date <= as.Date(end), isexit != "",
+ isguard != "") %>%
+ mutate(variable = ifelse(isexit == "t",
+ ifelse(isguard == "t", "guard_and_exit", "exit_only"),
+ ifelse(isguard == "t", "guard_only", "middle_only")),
value = (bwread + bwwrite) * 8 / 2e9) %>%
select(date, variable, value)
}
@@ -502,8 +502,8 @@ write_bwhist_flags <- function(start, end, path) {
prepare_dirbytes <- function(start, end, path) {
read.csv(paste(stats_dir, "bandwidth.csv", sep = ""),
colClasses = c("date" = "Date")) %>%
- filter(date >= as.Date(start), date <= as.Date(end), isexit == '',
- isguard == '') %>%
+ filter(date >= as.Date(start), date <= as.Date(end), isexit == "",
+ isguard == "") %>%
mutate(dirread = dirread * 8 / 1e9,
dirwrite = dirwrite * 8 / 1e9) %>%
select(date, dirread, dirwrite)
@@ -535,9 +535,9 @@ write_dirbytes <- function(start, end, path) {
prepare_relayflags <- function(start, end, flags) {
read.csv(paste(stats_dir, "servers.csv", sep = ""),
colClasses = c("date" = "Date")) %>%
- filter(date >= as.Date(start), date <= as.Date(end), country == '',
- version == '', platform == '', ec2bridge == '') %>%
- mutate(flag = ifelse(flag == '', 'Running', as.character(flag))) %>%
+ filter(date >= as.Date(start), date <= as.Date(end), country == "",
+ version == "", platform == "", ec2bridge == "") %>%
+ mutate(flag = ifelse(flag == "", "Running", as.character(flag))) %>%
filter(flag %in% flags) %>%
select(date, flag, relays)
}
@@ -566,8 +566,8 @@ write_relayflags <- function(start, end, flags, path) {
}
plot_torperf <- function(start, end, source, server, filesize, path) {
- filesizeVal <- ifelse(filesize == '50kb', 50 * 1024,
- ifelse(filesize == '1mb', 1024 * 1024, 5 * 1024 * 1024))
+ filesize_val <- ifelse(filesize == "50kb", 50 * 1024,
+ ifelse(filesize == "1mb", 1024 * 1024, 5 * 1024 * 1024))
t <- read.csv(paste(stats_dir, "torperf-1.1.csv", sep = ""),
colClasses = c("date" = "Date"))
known_sources <- c("all", unique(t[t$source != "", "source"]))
@@ -577,10 +577,10 @@ plot_torperf <- function(start, end, source, server, filesize, path) {
colour <- colours[colours$source == source, "colour"]
filesizes <- data.frame(filesizes = c("5mb", "1mb", "50kb"),
label = c("5 MiB", "1 MiB", "50 KiB"), stringsAsFactors = FALSE)
- filesizeStr <- filesizes[filesizes$filesize == filesize, "label"]
+ filesize_str <- filesizes[filesizes$filesize == filesize, "label"]
t[t$date >= as.Date(start) & t$date <= as.Date(end) &
- t$filesize == filesizeVal &
- t$source == ifelse(source == 'all', '', source) &
+ t$filesize == filesize_val &
+ t$source == ifelse(source == "all", "", source) &
t$server == server, ] %>%
transmute(date, q1 = q1 / 1e3, md = md / 1e3, q3 = q3 / 1e3) %>%
complete(date = full_seq(date, period = 1)) %>%
@@ -596,7 +596,7 @@ plot_torperf <- function(start, end, source, server, filesize, path) {
breaks = c("line", "ribbon"),
labels = c("Median", "1st to 3rd quartile"),
values = paste(colour, c("", "66"), sep = "")) +
- ggtitle(paste("Time to complete", filesizeStr,
+ ggtitle(paste("Time to complete", filesize_str,
"request to", server, "server")) +
labs(caption = copyright_notice) +
theme(legend.position = "top")
@@ -612,21 +612,21 @@ write_torperf <- function(start, end, source_, server_, filesize_, path) {
read.csv(paste(stats_dir, "torperf-1.1.csv", sep = ""),
colClasses = c("date" = "Date")) %>%
filter(date >= as.Date(start), date <= as.Date(end),
- filesize == ifelse(filesize_ == '50kb', 50 * 1024,
- ifelse(filesize_ == '1mb', 1024 * 1024, 5 * 1024 * 1024)),
- source == ifelse(source_ == 'all', '', source_),
+ filesize == ifelse(filesize_ == "50kb", 50 * 1024,
+ ifelse(filesize_ == "1mb", 1024 * 1024, 5 * 1024 * 1024)),
+ source == ifelse(source_ == "all", "", source_),
server == server_) %>%
transmute(date, q1 = q1 / 1e3, md = md / 1e3, q3 = q3 / 1e3) %>%
write.csv(path, quote = FALSE, row.names = FALSE)
}
prepare_torperf_failures <- function(start, end, source, server, filesize) {
- filesizeVal <- ifelse(filesize == '50kb', 50 * 1024,
- ifelse(filesize == '1mb', 1024 * 1024, 5 * 1024 * 1024))
+ filesize_val <- ifelse(filesize == "50kb", 50 * 1024,
+ ifelse(filesize == "1mb", 1024 * 1024, 5 * 1024 * 1024))
t <- read.csv(paste(stats_dir, "torperf-1.1.csv", sep = ""),
colClasses = c("date" = "Date"))
- t[t$date >= start & t$date <= end & t$filesize == filesizeVal &
- t$source == ifelse(source == 'all', '', source) &
+ t[t$date >= start & t$date <= end & t$filesize == filesize_val &
+ t$source == ifelse(source == "all", "", source) &
t$server == server & t$requests > 0, ] %>%
transmute(date, timeouts = timeouts / requests,
failures = failures / requests)
@@ -635,7 +635,7 @@ prepare_torperf_failures <- function(start, end, source, server, filesize) {
plot_torperf_failures <- function(start, end, source, server, filesize, path) {
filesizes <- data.frame(filesizes = c("5mb", "1mb", "50kb"),
label = c("5 MiB", "1 MiB", "50 KiB"), stringsAsFactors = FALSE)
- filesizeStr <- filesizes[filesizes$filesize == filesize, "label"]
+ filesize_str <- filesizes[filesizes$filesize == filesize, "label"]
prepare_torperf_failures(start, end, source, server, filesize) %>%
gather(variable, value, -date) %>%
ggplot(aes(x = date, y = value, colour = variable)) +
@@ -647,7 +647,7 @@ plot_torperf_failures <- function(start, end, source, server, filesize, path) {
ifelse(source == "all", "all sources", source)),
h.start = 45, breaks = c("timeouts", "failures"),
labels = c("Timeouts", "Failures")) +
- ggtitle(paste("Timeouts and failures of", filesizeStr,
+ ggtitle(paste("Timeouts and failures of", filesize_str,
"requests to", server, "server")) +
labs(caption = copyright_notice) +
theme(legend.position = "top")
@@ -703,10 +703,10 @@ write_connbidirect <- function(start, end, path) {
prepare_bandwidth_flags <- function(start, end) {
b <- read.csv(paste(stats_dir, "bandwidth.csv", sep = ""),
colClasses = c("date" = "Date"))
- b <- b[b$date >= start & b$date <= end & b$isexit != '' &
- b$isguard != '', ]
+ b <- b[b$date >= start & b$date <= end & b$isexit != "" &
+ b$isguard != "", ]
b <- data.frame(date = b$date,
- isexit = b$isexit == 't', isguard = b$isguard == 't',
+ isexit = b$isexit == "t", isguard = b$isguard == "t",
advbw = b$advbw * 8 / 1e9,
bwhist = (b$bwread + b$bwwrite) * 8 / 2e9)
b <- rbind(
@@ -761,16 +761,16 @@ plot_userstats <- function(start, end, node, variable, value, events,
c <- data
u <- c[c$date >= start & c$date <= end, ]
u <- rbind(u, data.frame(date = start,
- country = ifelse(variable == 'country' & value != 'all', value, ''),
- transport = ifelse(variable == 'transport', value, ''),
- version = ifelse(variable == 'version', value, ''),
+ country = ifelse(variable == "country" & value != "all", value, ""),
+ transport = ifelse(variable == "transport", value, ""),
+ version = ifelse(variable == "version", value, ""),
lower = 0, upper = 0, clients = 0))
- if (node == 'relay') {
- if (value != 'all') {
+ if (node == "relay") {
+ if (value != "all") {
u <- u[u$country == value, ]
title <- paste("Directly connecting users from", countryname(value))
} else {
- u <- u[u$country == '', ]
+ u <- u[u$country == "", ]
title <- "Directly connecting users"
}
u <- aggregate(list(lower = u$lower, upper = u$upper,
@@ -778,16 +778,16 @@ plot_userstats <- function(start, end, node, variable, value, events,
by = list(date = as.Date(u$date, "%Y-%m-%d"),
value = u$country),
FUN = sum)
- } else if (variable == 'transport') {
- if ('!<OR>' %in% value) {
- n <- u[u$transport != '' & u$transport != '<OR>', ]
+ } else if (variable == "transport") {
+ if ("!<OR>" %in% value) {
+ n <- u[u$transport != "" & u$transport != "<OR>", ]
n <- aggregate(list(lower = n$lower, upper = n$upper,
clients = n$clients),
by = list(date = n$date),
FUN = sum)
u <- rbind(u, data.frame(date = n$date,
- country = '', transport = '!<OR>',
- version = '', lower = n$lower,
+ country = "", transport = "!<OR>",
+ version = "", lower = n$lower,
upper = n$upper, clients = n$clients))
}
if (length(value) > 1) {
@@ -806,14 +806,14 @@ plot_userstats <- function(start, end, node, variable, value, events,
value = u$transport),
FUN = sum)
title <- paste("Bridge users using",
- ifelse(value == '<??>', 'unknown pluggable transport(s)',
- ifelse(value == '<OR>', 'default OR protocol',
- ifelse(value == '!<OR>', 'any pluggable transport',
- ifelse(value == 'fte', 'FTE',
- ifelse(value == 'websocket', 'Flash proxy/websocket',
- paste('transport', value)))))))
+ ifelse(value == "<??>", "unknown pluggable transport(s)",
+ ifelse(value == "<OR>", "default OR protocol",
+ ifelse(value == "!<OR>", "any pluggable transport",
+ ifelse(value == "fte", "FTE",
+ ifelse(value == "websocket", "Flash proxy/websocket",
+ paste("transport", value)))))))
}
- } else if (variable == 'version') {
+ } else if (variable == "version") {
u <- u[u$version == value, ]
title <- paste("Bridge users using IP", value, sep = "")
u <- aggregate(list(lower = u$lower, upper = u$upper,
@@ -822,11 +822,11 @@ plot_userstats <- function(start, end, node, variable, value, events,
value = u$version),
FUN = sum)
} else {
- if (value != 'all') {
+ if (value != "all") {
u <- u[u$country == value, ]
title <- paste("Bridge users from", countryname(value))
} else {
- u <- u[u$country == '' & u$transport == '' & u$version == '', ]
+ u <- u[u$country == "" & u$transport == "" & u$version == "", ]
title <- "Bridge users"
}
u <- aggregate(list(lower = u$lower, upper = u$upper,
@@ -837,15 +837,15 @@ plot_userstats <- function(start, end, node, variable, value, events,
}
u <- merge(x = u, all.y = TRUE, y = data.frame(expand.grid(
date = seq(from = as.Date(start, "%Y-%m-%d"),
- to = as.Date(end, "%Y-%m-%d"), by="1 day"),
- value = ifelse(value == 'all', '', value))))
+ to = as.Date(end, "%Y-%m-%d"), by = "1 day"),
+ value = ifelse(value == "all", "", value))))
if (length(value) > 1) {
plot <- ggplot(u, aes(x = date, y = users, colour = value))
} else {
plot <- ggplot(u, aes(x = date, y = users))
}
if (length(na.omit(u$users)) > 0 & events != "off" &
- variable == 'country' & length(value) == 1 && value != "all") {
+ variable == "country" & length(value) == 1 && value != "all") {
upturns <- u[u$users > u$upper, c("date", "users")]
downturns <- u[u$users < u$lower, c("date", "users")]
if (events == "on") {
@@ -872,11 +872,11 @@ plot_userstats <- function(start, end, node, variable, value, events,
if (length(value) > 1) {
plot <- plot +
scale_colour_hue(name = "", breaks = value,
- labels = ifelse(value == '<??>', 'Unknown PT',
- ifelse(value == '<OR>', 'Default OR protocol',
- ifelse(value == '!<OR>', 'Any PT',
- ifelse(value == 'fte', 'FTE',
- ifelse(value == 'websocket', 'Flash proxy/websocket',
+ labels = ifelse(value == "<??>", "Unknown PT",
+ ifelse(value == "<OR>", "Default OR protocol",
+ ifelse(value == "!<OR>", "Any PT",
+ ifelse(value == "fte", "FTE",
+ ifelse(value == "websocket", "Flash proxy/websocket",
value))))))
}
ggsave(filename = path, width = 8, height = 5, dpi = 150)
@@ -884,20 +884,20 @@ plot_userstats <- function(start, end, node, variable, value, events,
plot_userstats_relay_country <- function(start, end, country, events,
path) {
- plot_userstats(start, end, 'relay', 'country', country, events, path)
+ plot_userstats(start, end, "relay", "country", country, events, path)
}
plot_userstats_bridge_country <- function(start, end, country, path) {
- plot_userstats(start, end, 'bridge', 'country', country, 'off', path)
+ plot_userstats(start, end, "bridge", "country", country, "off", path)
}
plot_userstats_bridge_transport <- function(start, end, transport, path) {
- plot_userstats(start, end, 'bridge', 'transport', transport, 'off',
+ plot_userstats(start, end, "bridge", "transport", transport, "off",
path)
}
plot_userstats_bridge_version <- function(start, end, version, path) {
- plot_userstats(start, end, 'bridge', 'version', version, 'off', path)
+ plot_userstats(start, end, "bridge", "version", version, "off", path)
}
write_userstats_relay_country <- function(start, end, country_, events,
@@ -905,13 +905,13 @@ write_userstats_relay_country <- function(start, end, country_, events,
load(paste(rdata_dir, "clients-relay.RData", sep = ""))
u <- data %>%
filter(date >= as.Date(start), date <= as.Date(end),
- country == ifelse(country_ == 'all', '', country_), transport == '',
- version == '')
- if (country_ != 'all' && events == 'on') {
+ country == ifelse(country_ == "all", "", country_), transport == "",
+ version == "")
+ if (country_ != "all" && events == "on") {
u <- u %>%
mutate(downturns = clients < u$lower, upturns = clients > upper) %>%
select(date, clients, downturns, upturns, lower, upper)
- } else if (country_ != 'all' && events != 'off') {
+ } else if (country_ != "all" && events != "off") {
u <- u %>%
mutate(downturns = clients < u$lower, upturns = clients > upper) %>%
select(date, clients, downturns, upturns)
@@ -928,8 +928,8 @@ write_userstats_bridge_country <- function(start, end, country_, path) {
load(paste(rdata_dir, "clients-bridge.RData", sep = ""))
data %>%
filter(date >= as.Date(start), date <= as.Date(end),
- country == ifelse(country_ == 'all', '', country_), transport == '',
- version == '') %>%
+ country == ifelse(country_ == "all", "", country_), transport == "",
+ version == "") %>%
select(date, clients) %>%
rename(users = clients) %>%
write.csv(path, quote = FALSE, row.names = FALSE)
@@ -939,21 +939,21 @@ write_userstats_bridge_transport <- function(start, end, transports, path) {
load(paste(rdata_dir, "clients-bridge.RData", sep = ""))
u <- data %>%
filter(date >= as.Date(start), date <= as.Date(end),
- country == '', version == '', transport != '') %>%
+ country == "", version == "", transport != "") %>%
select(date, transport, clients)
- if ('!<OR>' %in% transports) {
+ if ("!<OR>" %in% transports) {
n <- u %>%
- filter(transport != '<OR>') %>%
+ filter(transport != "<OR>") %>%
group_by(date) %>%
summarize(clients = sum(clients))
- u <- rbind(u, data.frame(date = n$date, transport = '!<OR>',
+ u <- rbind(u, data.frame(date = n$date, transport = "!<OR>",
clients = n$clients))
}
u %>%
filter(transport %in% transports) %>%
- mutate(transport = ifelse(transport == '<OR>', 'default_or_protocol',
- ifelse(transport == '!<OR>', 'any_pt',
- ifelse(transport == '<??>', 'unknown_pluggable_transports',
+ mutate(transport = ifelse(transport == "<OR>", "default_or_protocol",
+ ifelse(transport == "!<OR>", "any_pt",
+ ifelse(transport == "<??>", "unknown_pluggable_transports",
transport)))) %>%
group_by(date, transport) %>%
select(date, transport, clients) %>%
@@ -965,7 +965,7 @@ write_userstats_bridge_version <- function(start, end, version_, path) {
load(paste(rdata_dir, "clients-bridge.RData", sep = ""))
data %>%
filter(date >= as.Date(start), date <= as.Date(end),
- country == '', transport == '', version == version_) %>%
+ country == "", transport == "", version == version_) %>%
select(date, clients) %>%
rename(users = clients) %>%
write.csv(path, quote = FALSE, row.names = FALSE)
@@ -1013,8 +1013,8 @@ write_userstats_bridge_combined <- function(start, end, country, path) {
} else {
prepare_userstats_bridge_combined(start, end, country) %>%
select(date, transport, low, high) %>%
- mutate(transport = ifelse(transport == '<OR>',
- 'default_or_protocol', transport)) %>%
+ mutate(transport = ifelse(transport == "<OR>",
+ "default_or_protocol", transport)) %>%
gather(variable, value, -(date:transport)) %>%
unite(temp, transport, variable) %>%
spread(temp, value) %>%
@@ -1185,10 +1185,10 @@ prepare_webstats_tb <- function(start, end) {
plot_webstats_tb <- function(start, end, path) {
d <- prepare_webstats_tb(start, end)
levels(d$request_type) <- list(
- 'Initial downloads' = 'tbid',
- 'Signature downloads' = 'tbsd',
- 'Update pings' = 'tbup',
- 'Update requests' = 'tbur')
+ "Initial downloads" = "tbid",
+ "Signature downloads" = "tbsd",
+ "Update pings" = "tbup",
+ "Update requests" = "tbur")
ggplot(d, aes(x = log_date, y = count)) +
geom_point() +
geom_line() +
@@ -1216,7 +1216,7 @@ prepare_webstats_tb_platform <- function(start, end) {
read.csv(paste(stats_dir, "webstats.csv", sep = ""),
colClasses = c("log_date" = "Date")) %>%
filter(log_date >= as.Date(start), log_date <= as.Date(end),
- request_type == 'tbid') %>%
+ request_type == "tbid") %>%
group_by(log_date, platform) %>%
summarize(count = sum(count))
}
@@ -1250,13 +1250,13 @@ write_webstats_tb_platform <- function(start, end, path) {
plot_webstats_tb_locale <- function(start, end, path) {
d <- read.csv(paste(stats_dir, "webstats.csv", sep = ""),
colClasses = c("log_date" = "Date"))
- d <- d[d$log_date >= start & d$log_date <= end & d$request_type == 'tbid', ]
+ d <- d[d$log_date >= start & d$log_date <= end & d$request_type == "tbid", ]
e <- d
e <- aggregate(list(count = e$count), by = list(locale = e$locale), FUN = sum)
e <- e[order(e$count, decreasing = TRUE), ]
e <- e[1:5, ]
d <- aggregate(list(count = d$count), by = list(log_date = d$log_date,
- locale = ifelse(d$locale %in% e$locale, d$locale, '(other)')), FUN = sum)
+ locale = ifelse(d$locale %in% e$locale, d$locale, "(other)")), FUN = sum)
ggplot(d, aes(x = log_date, y = count, colour = locale)) +
geom_point() +
geom_line() +
@@ -1281,13 +1281,13 @@ plot_webstats_tb_locale <- function(start, end, path) {
write_webstats_tb_locale <- function(start, end, path) {
d <- read.csv(paste(stats_dir, "webstats.csv", sep = ""),
colClasses = c("log_date" = "Date"))
- d <- d[d$log_date >= start & d$log_date <= end & d$request_type == 'tbid', ]
+ d <- d[d$log_date >= start & d$log_date <= end & d$request_type == "tbid", ]
e <- d
e <- aggregate(list(count = e$count), by = list(locale = e$locale), FUN = sum)
e <- e[order(e$count, decreasing = TRUE), ]
e <- e[1:5, ]
d <- aggregate(list(count = d$count), by = list(log_date = d$log_date,
- locale = ifelse(d$locale %in% e$locale, d$locale, 'other')), FUN = sum)
+ locale = ifelse(d$locale %in% e$locale, d$locale, "other")), FUN = sum)
d %>%
mutate(locale = tolower(locale)) %>%
rename(date = log_date) %>%
@@ -1305,8 +1305,8 @@ prepare_webstats_tm <- function(start, end) {
plot_webstats_tm <- function(start, end, path) {
d <- prepare_webstats_tm(start, end)
levels(d$request_type) <- list(
- 'Initial downloads' = 'tmid',
- 'Update pings' = 'tmup')
+ "Initial downloads" = "tmid",
+ "Update pings" = "tmup")
ggplot(d, aes(x = log_date, y = count)) +
geom_point() +
geom_line() +
@@ -1336,9 +1336,9 @@ prepare_relays_ipv6 <- function(start, end) {
valid_after_date <= as.Date(end), server == "relay") %>%
group_by(valid_after_date) %>%
summarize(total = sum(server_count_sum_avg),
- announced = sum(server_count_sum_avg[announced_ipv6 == 't']),
- reachable = sum(server_count_sum_avg[reachable_ipv6_relay == 't']),
- exiting = sum(server_count_sum_avg[exiting_ipv6_relay == 't'])) %>%
+ announced = sum(server_count_sum_avg[announced_ipv6 == "t"]),
+ reachable = sum(server_count_sum_avg[reachable_ipv6_relay == "t"]),
+ exiting = sum(server_count_sum_avg[exiting_ipv6_relay == "t"])) %>%
complete(valid_after_date = full_seq(valid_after_date, period = 1)) %>%
gather(total, announced, reachable, exiting, key = "category",
value = "count")
@@ -1375,7 +1375,7 @@ prepare_bridges_ipv6 <- function(start, end) {
valid_after_date <= as.Date(end), server == "bridge") %>%
group_by(valid_after_date) %>%
summarize(total = sum(server_count_sum_avg),
- announced = sum(server_count_sum_avg[announced_ipv6 == 't'])) %>%
+ announced = sum(server_count_sum_avg[announced_ipv6 == "t"])) %>%
complete(valid_after_date = full_seq(valid_after_date, period = 1)) %>%
gather(total, announced, key = "category", value = "count")
}
@@ -1410,14 +1410,14 @@ prepare_advbw_ipv6 <- function(start, end) {
valid_after_date <= as.Date(end), server == "relay") %>%
group_by(valid_after_date) %>%
summarize(total = sum(advertised_bandwidth_bytes_sum_avg),
- total_guard = sum(advertised_bandwidth_bytes_sum_avg[guard_relay != 'f']),
- total_exit = sum(advertised_bandwidth_bytes_sum_avg[exit_relay != 'f']),
+ total_guard = sum(advertised_bandwidth_bytes_sum_avg[guard_relay != "f"]),
+ total_exit = sum(advertised_bandwidth_bytes_sum_avg[exit_relay != "f"]),
reachable_guard = sum(advertised_bandwidth_bytes_sum_avg[
- reachable_ipv6_relay != 'f' & guard_relay != 'f']),
+ reachable_ipv6_relay != "f" & guard_relay != "f"]),
reachable_exit = sum(advertised_bandwidth_bytes_sum_avg[
- reachable_ipv6_relay != 'f' & exit_relay != 'f']),
+ reachable_ipv6_relay != "f" & exit_relay != "f"]),
exiting = sum(advertised_bandwidth_bytes_sum_avg[
- exiting_ipv6_relay != 'f'])) %>%
+ exiting_ipv6_relay != "f"])) %>%
complete(valid_after_date = full_seq(valid_after_date, period = 1)) %>%
gather(total, total_guard, total_exit, reachable_guard, reachable_exit,
exiting, key = "category", value = "advbw") %>%
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